Fast data labeling
Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.
Google Cloud Auto Annotate Alternative: Auto Label Your Own Classes with Roboflow
Google Cloud Auto Annotate vs Roboflow AI-Assisted Annotate? Over 1 million engineers create datasets, train models, and deploy to production with Roboflow.
Why are companies choosing Roboflow?
The turnkey solution for vision AI. Create datasets, train models, and deploy to production.
AnnotateAI-accelerated labeling and dataset optimization
TrainComplete model training toolset and platform
BuildVisual application builder and template
DeployManaged infrastructure, cloud and edge support
End-to-End Vision, One Platform
From labeling to deployment - build, train, and launch with ease.
Built for Builders, Ready for Anything
Interoperable infrastructure for developers to create custom vision solutions.
AI at the Edge, Without Limits
Deploy seamlessly to any edge device and power real-time vision AI.
Build vision AI applications with ease
Use a low-code open source platform to simplify building and deploying vision AI applications.
Machine learning expertise, always
Work with account-dedicated AI specialists and Field Engineers to accelerate development and optimize performance.
Datasets and models for every industry
Access thousands of datasets and pre-trained models to kickstart your computer vision projects.
Flexible model licensing
Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.
Want to migrate from Google Cloud to Roboflow?
Import images to Roboflow
Bring image datasets from Google Cloud Storage to Roboflow for labeling and model training.
Deploy with Roboflow
No matter where you train your model, use Roboflow's trusted deployment solutions.
Automate data labeling
Use AI labeling in Roboflow to automate 90% of human labeling.
OK I’m ready, how do I use Roboflow?
Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.
Speak with an AI expert
Our team will help you start solving business problems on the first call.
Ask us about:
- Solution architecting
- Live demonstration
- Pricing and specifications
- Feasibility assessment
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Start where you are
Stay connected
Get the Latest in Computer Vision First
Compare Google Cloud Auto Annotate and Roboflow
Google Cloud's Auto Annotate makes annotation a storage capability. The model catalog is fixed, so it cannot learn your classes; there is no review workflow to correct its output; and training custom classes still routes to Vertex AI, where every bounding box is drawn by hand in the console. Roboflow picks up where fixed models stop: foundation models like Grounding DINO and SAM 3 auto label images for the exact ontology you define in plain text, teams automate up to 90% of human labeling, review results in Roboflow Annotate, and export to 40+ formats or train and deploy without leaving the platform.
Roboflow Auto labeling
- Roboflow Auto Label runs foundation models like Grounding DINO and SAM 3 over your dataset from a plain-text prompt: describe your classes, evaluate on a sample, then label thousands of images in one batch
- Label 1,000 images in under ten minutes; over 2 million images have been auto labeled with Roboflow to date
- Set confidence thresholds and test prompts on a subset before committing a full labeling run, so you tune quality before you spend time on it
- Auto labeled images flow straight into Roboflow Annotate for human review, correction, and approval; nothing ships to training unreviewed
Roboflow AI-assisted manual labeling
- Label Assist uses your own trained models to pre-annotate new images, cutting human labeling time by 95%
- Smart Polygon creates one-click polygon annotations powered by Meta AI's SAM3
- Full annotation coverage in one editor: bounding boxes, instance segmentation polygons, keypoint skeletons, and whole-image classification
Review and team workflow with Roboflow
- Role-based labeling workflow with Admin, Labeler, and Reviewer roles, assignment tracking, and notifications when work lands in someone's queue
- Annotation history with version revert, so a bad labeling pass never costs you the dataset
- 750,000+ datasets and 575+ million images labeled with Roboflow; a managed labeling service is available when you'd rather hand the queue to experts